ArticleOpen Access http://dx.doi.org/10.26855/jhass.2026.09.020
The Application and Challenges of AI Technology in the Translation of Government Documents
Yuliang Zhang, Dandan Xing*
Shandong University of Science and Technology, Qingdao 266590, Shandong, China.
*Corresponding author: Dandan Xing
Published: September 24, 2026
Abstract
With the rapid iteration of digital technology and the continuous
maturity of deep learning algorithms, artificial intelligence translation has
become an indispensable auxiliary tool in modern translation industries.
Government document translation, as a highly rigorous and standardized branch
of political translation, undertakes the important task of international public
communication and national cultural external dissemination. High-quality
translation of official texts helps accurately convey national policies,
governance concepts, and cultural values, and builds a reliable international
image for the country. In recent years, AI translation has been widely used in
batch processing of government documents due to its advantages of high speed,
low cost, and large-scale text processing capability. It effectively makes up
for the low efficiency of traditional manual translation and greatly
accelerates the release and international communication of official documents. However, government
documents feature rigorous logic, standardized wording, unique political
terminology, and rich cultural metaphors. Different from general commercial and
daily translation texts, political discourse carries strong ideological
attributes, cultural connotations, and rhetorical aesthetics. Restricted by
existing algorithmic mechanisms and corpus
training limitations, current AI translation systems still face prominent
deficiencies in semantic accuracy, cultural connotation transmission, and
stylistic aesthetic restoration. Based on functional equivalence theory and
eco-translatology, this paper systematically explores the practical application
value of AI translation in government document translation, analyzes typical
problems such as semantic deviation, cultural information loss, and rigid
expression, and summarizes the internal causes of machine translation errors.
On this basis, some specific optimization strategies based on human-machine
collaboration are proposed to improve the overall quality of political text
translation. The study aims to provide a practical reference for the
intelligent development of government document translation and the improvement
of international communication effectiveness of Chinese official discourse.
Keyword
AI translation; government document translation; human-machine collaboration
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Copyright
© 2026 by the author(s).
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How to cite this paper
The Application and Challenges of AI Technology in the Translation of Government Documents
How to cite this paper: Yuliang Zhang, Dandan Xing. (2026) The Application and Challenges of AI Technology in the Translation of Government Documents. Journal of Humanities, Arts and Social Science, 10(9), 1161-1166.
DOI: http://dx.doi.org/10.26855/jhass.2026.09.020